机构

• 自动化研究所 [9]
• 计算技术研究所 [4]
• 西安光学精密机械研究... [1]

采集方式

• OAI收割 [14]

内容类型

• 期刊论文 [14]

发表日期

• 2024 [5]
• 2023 [4]
• 2022 [2]
• 2021 [2]
• 2019 [1]

学科主题

筛选

浏览/检索结果: 共14条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Progressive Decision Boundary Shifting for Unsupervised Domain Adaptation 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 页码: 12 作者:  Li, Liang;  Lu, Tongyu;  Sun, Yaoqi;  Gao, Yuhan;  Yan, Chenggang   |  收藏  |  浏览/下载：8/0  |  提交时间：2024/12/06 Uncertainty  Feature extraction  Semantics  Task analysis  Training  Adversarial machine learning  Symbols  Domain shifting  progressive decision boundary  self-learning  unsupervised domain adaptation (UDA)   SHAPAttack: Shapley-Guided Multigranularity Adversarial Attack Against Text Transformers 期刊论文  OAI收割 IEEE INTELLIGENT SYSTEMS, 2024, 卷号: 39, 期号: 3, 页码: 45-53 作者:  Shi, Jiahui;  Li, Linjing;  Zeng, Daniel   |  收藏  |  浏览/下载：13/0  |  提交时间：2024/09/09 Perturbation methods  Transformers  Intelligent systems  Security  Task analysis  Games  Text categorization  Text analysis  Query processing  Benchmark testing  Adversarial machine learning  Ranking (statistics)   Adversarial Medical Image With Hierarchical Feature Hiding 期刊论文  OAI收割 IEEE TRANSACTIONS ON MEDICAL IMAGING, 2024, 卷号: 43, 期号: 4, 页码: 1296-1307 作者:  Yao, Qingsong;  He, Zecheng;  Li, Yuexiang;  Lin, Yi;  Ma, Kai   |  收藏  |  浏览/下载：5/0  |  提交时间：2024/12/06 Security in machine learning  adversarial attacks and defense   Towards a unified framework for imperceptible textual attacks 期刊论文  OAI收割 APPLIED INTELLIGENCE, 2024, 页码: 14 作者:  Shi, Jiahui;  Li, Linjing;  Zeng, Daniel   |  收藏  |  浏览/下载：60/0  |  提交时间：2024/03/26 Adversarial attack  Backdoor attack  Natural language processing  Adversarial machine learning   A Multi-Modal Classification Method for Early Diagnosis of Mild Cognitive Impairment and Alzheimer's Disease Using Three Paradigms With Various Task Difficulties 期刊论文  OAI收割 IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2024, 卷号: 32, 页码: 1456-1465 作者:  Chen Sheng;  Zhang Chutian;  Yang Hongjun;  Peng Liang;  Xie Haiqun   |  收藏  |  浏览/下载：10/0  |  提交时间：2024/05/29 Dementia  multi-modal  machine learning  domain-adversarial neural network   Revisiting AUC-Oriented Adversarial Training With Loss-Agnostic Perturbations 期刊论文  OAI收割 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 15494-15511 作者:  Yang, Zhiyong;  Xu, Qianqian;  Hou, Wenzheng;  Bao, Shilong;  He, Yuan   |  收藏  |  浏览/下载：14/0  |  提交时间：2024/05/20 Optimization  Training  Perturbation methods  Machine learning  Receivers  Machine learning algorithms  Linear programming  AUC Optimization  adversarial learning  machine learning   Contrastive Adversarial Training for Multi-Modal Machine Translation 期刊论文  OAI收割 ACM Transactions on Asian and Low-Resource Language Information Processing, 2023, 卷号: 22, 期号: 6, 页码: 157:1-18 作者:  Huang X(黄鑫);  Zhang JJ(张家俊);  Zong CQ(宗成庆)   |  收藏  |  浏览/下载：19/0  |  提交时间：2023/06/26 contrastive learning  adversarial training  multi-modal machine translation   Robust Monitor for Industrial IoT Condition Prediction 期刊论文  OAI收割 IEEE INTERNET OF THINGS JOURNAL, 2023, 卷号: 10, 期号: 10, 页码: 8618-8629 作者:  Zhang, Xingwei;  Tian, Hu;  Zheng, Xiaolong;  Zeng, Daniel Dajun   |  收藏  |  浏览/下载：25/0  |  提交时间：2023/11/17 Perturbation methods  Monitoring  Industrial Internet of Things  Training  Predictive models  Robustness  Temperature sensors  Adversarial perturbation  adversarial training  Industrial Internet of Things (IIoT)  machine learning (ML)  temporal convolutional network (TCN)   LE-UDA: Label-Efficient Unsupervised Domain Adaptation for Medical Image Segmentation 期刊论文  OAI收割 IEEE TRANSACTIONS ON MEDICAL IMAGING, 2023, 卷号: 42, 期号: 3, 页码: 633-646 作者:  Zhao, Ziyuan;  Zhou, Fangcheng;  Xu, Kaixin;  Zeng, Zeng;  Guan, Cuntai   |  收藏  |  浏览/下载：37/0  |  提交时间：2023/12/04 Image segmentation  Adaptation models  Biomedical imaging  Annotations  Adversarial machine learning  Magnetic resonance imaging  Training  Unsupervised domain adaptation  medical image segmentation  cross-modality learning  semi-supervised learning  adversarial learning   Perturbation Inactivation Based Adversarial Defense for Face Recognition 期刊论文  OAI收割 IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2022, 卷号: 17, 页码: 2947-2962 作者:  Ren, Min;  Zhu, Yuhao;  Wang, Yunlong;  Sun, Zhenan   |  收藏  |  浏览/下载：20/0  |  提交时间：2022/11/14 Face recognition  Perturbation methods  Robustness  Immune system  Principal component analysis  Deep learning  Training  Adversarial machine learning  deep learning  graph neural network  face recognition